PROFESSIONAL SUMMARY

• Data scientist with experience in data collection, data manipulation, visualization, building statistical and machine learning models. Participated in various phases including data collection, data mining, data cleaning, data visualization, developing models, improvising models and presenting results.
• Over 7+ years of experience in the field of data science, data analytics, data visualization, business intelligence and data mining.
• Excellent hands on experience in building time series models like ARMA, ARIMA for predictive analytics and forecasting.
• Proficient with statistical technique’s like linear regression, multiple regression and ANOVA.
• Experience in developing machine learning models using decision trees, deep learning, support vector machines, clustering, Bayesian networks and reinforcement learning.
• Experienced in SSIS for ETL processes to ensure implementation of event handlers, checkpoints and handlers.
• Experience with open source ETL tools like Jaspersoft ETL, Apache Airflow, KETL and pentaho Data integrator.
• Experience working with RDBMS systems such as oracle and MySQL.
• Hand on experience on NOSQL databases like MongoDB and Cassandra.
• Expertise in python, R and respective libraries.
• Experienced in Natural Language processing and its related concepts.
• Deep knowledge of open source business intelligence tools like Knime, Metabase and IBM Watson analytics
• Designed and developed dashboards in tableau.
• Certified supply chain professional from IIT Delhi.
• Hands on experience working an DBA, User Administration, maintenance using Oracle10g and 11g.
• Analyzed slot machine data and user data in WEKA to provide a useful insight on slot machine complexity vs usability.

TECHNICAL SKILLS

Primary Languages: Java, C, Python, R, Scala

Database: MySQL, Microsoft SQL Server, Oracle DB, MongoDB

ETL Tool: SSIS, Jaspersoft ETL, Apache Airflow, KETL, Pentaho data integrator

BI Tools: Tableau, Oracle BI, pygal, Redash, Superset, QlikView and IBM Watson analytics.

Data analysis tools: WEKA, MATLAB

Python/R libraries: Numpy, Scipy, Shiny, Pandas, SQLAlchemy, matplotlib, scikit - learn, TensorFlow, Scrapy, Seaborn, Basemap

ML and Statistical Algorithms: Decision trees, ANN, Deep learning, Bayesian networks, reinforcement learning, support vector machines, logistic regression, data mining methods and cluster analysis.

Other: Natural Language processing(NLP), Hidden Markov Models, Map Reduce, Data Structures and algorithms, git, Jupyter Notebook and MS Excel

PROFESSIONAL EXPERIENCE

Confidential Las Vegas, NV

Sr. Data Scientist/Data Engineer/Data Architect

Responsibilities

• Define the problem, evaluate available data to develop and implement descriptive, predictive and prescriptive solutions using statistical and machine learning models.
• Build hypothesis and strategically participate in accurate data collection from various sources to support analytical needs.
• Summarize, aggregate and group data using Python Pandas to find the data structure and data distributions.
• Decide sampling using Numpy and remove features with low variance using scikit-learn
• Visualize data using matplotlib, seaborn, ggplot and geoplotlib to generate different graph types like attribute histograms, pairwise scatter plots, bubble charts and combination plots.
• Handle all Preprocessing tasks like data cleaning, integration, transformation, reduction and discretization using data mining tools like Rapid miner, WEKA, R-Programming tool, NTLK, Knime, pandas.
• Assisted ETL team with mapping, sessions and workflows using SSIS.
• Experience in developing time series, regression, decision trees, artificial neural networks, Bayesian networks, deep learning, support vector machines and rule based machine learning algorithms using Python and R.
• Evaluate, test statistical model and machine learning models using residual graphical analysis, test harness and k-fold cross validation techniques.
• Design and visualize interactive results using tableau to publish dashboards
• Experience with interactive web tools and business intelligence tools like pygal, Redash, Superset, QlikView and IBM Watson analytics.

Confidential Las Vegas, NV

Security Data Scientist

Responsibilities

• Developed a security model based on cyber-security analytics.
• Collected and modeled data to detect malware, their root causes and security incidences
• Proposed statistical analysis and visualizations using R
• Visualization of network behavior and patterns to understand source of the threats
• Interpret data, analyze results using statistical techniques, provide ongoing reports and provide feedback to the data.
• Worked on ETL package that included data conversions, dynamic variable expressions, sequence containers, conditional data flow using SSIS.
• Hands-on experience PL-SQL, SSIS, Business Intelligence in an SQL Server environment
• Designed and shared code using R and SQL extractions from relational database, data cleaning, data analysis, predictive analytics and graphic visualization.
• Developed a shiny app using information security data with in depth analytics to visualize intensity of a hack
• Data analytics on security using R language to predict cyber-attacks with respect to location and visualization using Tableau.
• Effectively used data blending feature and worked on Server installation and administration in tableau
• Experience with preparing dashboards using calculations, parameters, calculated fields and sets in Tableau.

Confidential, KA

Senior Sourcing Engineer

Responsibilities

• Analyzed historical cost, service, material and other data to provide key insights to review financial goals, identify cost variances, save on opportunities and report on initiatives
• Used oracle tools and applications to develop and present metrics/reports to leaders and stakeholders of varying levels of technical and business knowledge
• Implemented six-sigma to optimize supply chain processes
• Developed cross functional expertise by working in the areas of purchase planning, contracts and procurement, sourcing and product life cycle management.
• Excellent working knowledge on Microsoft excel and use of functions like VLOOKUP, concatenate, lower, upper, proper and if functions.
• Performed data cleaning by removing duplicates, text columns and using mark check box in spread sheets.
• Performed various data analysis by drawing inference from data using pivot table and creating charts in Microsoft excel.
• In depth knowledge on oracle database and oracle e-business suite.